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Learning nuclear cross sections across the chart of nuclides with graph neural networks

Hongjun Choi1,*, Sinjini Mitra2, Jason Brodksy1, Ruben Glatt1, Erika Holmbeck1, Shusen Liu1, Nicolas Schunck1, Andre Sieverding1, and Kyle Wendt1

  • *Contact author: choi22@llnl.gov

Artificial Neural Network–Based prediction of production cross sections of the medical radioisotopes 67Ga and 89Zr

Murat Okutan, Yiğit Ali Üncü, Gençay Sevim, Mert Şekerci, Tolga Kiliçarslan, Bayram Demir, and Hasan Özdoğan

Applied Radiation and Isotopes 230 112461 (2026)

Perspective: An outlook on fluorescence tracking

Lance W. Q. Xu and Steve Pressé

The Journal of Chemical Physics 163 160901 (2025)

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